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Sampling: Design and Analysis, by Sharon L. Lohr
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Sharon L. Lohr's SAMPLING: DESIGN AND ANALYSIS provides a modern introduction to the field of sampling. With a multitude of applications from a variety of disciplines, the book concentrates on the statistical aspects of taking and analyzing a sample. Overall, the book gives guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys.
- Sales Rank: #797214 in Books
- Brand: Brand: Cengage Learning
- Published on: 1999-12-15
- Original language: English
- Number of items: 1
- Dimensions: .99" h x 7.58" w x 9.56" l,
- Binding: Hardcover
- 512 pages
- Used Book in Good Condition
Review
This is the sampling text that I have been waiting for; it is the book I wish I could have written. There has been a real need for a text that covers theoretical material at this level and also includes real applications and modern topics in sampling, such as the model-based approach . . . Very readable.
"The writing style is excellent . . . The informal style is a definite plus . . . The exercises are good. They don't seem to be aimed at doing 'stuff' but more at understanding."
About the Author
Sharon Lohr (Ph.D. in statistics, University of Wisconsin-Madison) is the Thompson Industries Dean's Distinguished Professor of Statistics at Arizona State University, where she has taught since 1990. Dr. Lohr's research focuses on survey sampling, design of experiments, and applications of statistics to social sciences and education. She has published numerous articles in journals including The Annals of Statistics, Journal of the American Statistical Association, Journal of the Royal Statistical Society, Biometrika, Journal of Quantitative Criminology, Wisconsin Law Review, and The American Statistician. She has served as chair of the Survey Research Methods Section of the American Statistical Association, president of the Arizona Chapter of the American Statistical Association, Fellow of the American Statistical Association, Elected Member of the International Statistical Institute, and member of the Census Advisory Committee of Professional Associations and the Statistics Canada Advisory Board on Statistical Methodology. In 2003 she received the inaugural Gertrude M. Cox Award from the Washington Statistical Society and in 2009 was selected to present the Morris Hansen Lecture.
Most helpful customer reviews
36 of 36 people found the following review helpful.
nice introduction to survey sampling
By Michael R. Chernick
For me the classic book on survey sampling is Cochran's. The second edition of Cochran was published in 1977 and there have been many advances since including the use of superpopulation models. Lohr provides the basic concepts first followed with many exercises at the end of the chapters. It is designed for a first course which could be taken by statistics majors or undergraduates in fields that use survey sampling such as business, sociology, psychology or biology. Many real surveys are presented and the standard topics (e.g. stratified and cluster sampling) are covered. Issues of nonresponse are also discussed. Chapter 12 covers topics not commonly seen in survey sampling texts including two-phase sampling and capture-recapture analysis. Warner's method of randomized response to deal with sensitive questionnaires is also covered in Chapter 12. It is also unusual in that it provides a great deal of coverage of resampling methods to estimate variance components including the bootstrap, jackknife and balanced repeated replicates. It also deals with regression and logistic regression in problems involving complex survey data. Missing data issues are also discussed as are imputation methods The book contains a many references to the literature and also includes a CD ROM with some data sets and a software program called SURVEY.
11 of 11 people found the following review helpful.
excellent sampling textbook
By M. Choe
this is an excellent book on sampling. it accommadates all reader levels (undergrad, graduate, practioner and theorist). i can't comment too much about the theoretical aspects of the book because that is not my focus. but for those who want to learn about sampling and use it for their jobs or school projects, i cannot think of a better text. i find myself referring to the text constantly. her examples are relatively clear and easy to follow, in my opinion. she covers cluster sampling and complex surveys (variance calculations) in depth and with great clarity.
12 of 13 people found the following review helpful.
A well-written guide to sampling design and analysis.
By Jake Burkey
Sharon Lohr does a great job of covering the subject of sampling, which seems to be overlooked in most curricula even though the need for it is ubiquitous across disciplines. This text is appropriate at an intermediate level such as third or fourth year undergraduate or first-year graduate study. The math notation appears to be an attempt to bridge between the notation used at the introductory level and that which appears in graduate texts such as Greene. I found it relatively easy to follow, but it might not be so easy for someone who is seeing it for the first time. The best feature of the book is its comprehensive coverage of the subject. If you have a question about sampling, there is likely a concise and understandable answer available in this text.
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